A 128-Channel Wireless Wearable Myolink (W2 Myolink): Functional Characteristics and Multidisciplinary Experiments

A 128-Channel Wireless Wearable Myolink (W2 Myolink): Functional Characteristics and Multidisciplinary Experiments | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A 128-Channel Wireless Wearable Myolink (W 2 Myolink): Functional Characteristics and Multidisciplinary Experiments Maciej Zajaczkowski, Simos Koutsoftidis, Muhammad Sheeraz, Deren Yusuf Barsakcioglu, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9266175/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract This paper presents Wireless Wearable Myolink (W2 Myolink), a high-density, battery-powered system for wireless acquisition of surface electromyography(EMG) signals, and demonstrates its practicality across diverse experimentalparadigms. The device features a compact form factor (110x70x35 mm), low weight(160 g), and continuous operation for up to 6 h. It supports low-noise (1.34 µVRMS),high-resolution (24 bit) recordings from 128 EMG channels with real-time wireless datatransmission over Wi-Fi. The capabilities of W2 Myolink have been validated througha series of experiments. Conventional EMG studies included the recording and analysisof muscle activity during various gestures and hand movements, as well as concurrentEMG–EEG measurements for the investigation of cortico-muscular coherence. Thesystem’s suitability for clinical and pathological scenarios was examined using surrogateEMG signals representative of healthy subjects and of conditions such as myopathy,neuropathy, and Amyotrophic Lateral Sclerosis (ALS). More complex experimental usecases involved human–robot interaction with ISYBOT robotic arms, intraoperativeEMG monitoring during different types of surgery with and without exoskeletonassistance for the surgeon, and EMG acquisition during psychedelic experiencesinduced by psilocybin. Collectively, these results demonstrate that W2 Myolink canreliably acquire and wirelessly transmit high-quality, high-density EMG data in a broadrange of research and application contexts. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 23 Apr, 2026 Reviewers invited by journal 23 Apr, 2026 Editor assigned by journal 30 Mar, 2026 Submission checks completed at journal 30 Mar, 2026 First submitted to journal 30 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9266175","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":630494095,"identity":"b498c2b2-c1be-42de-ac5a-e72ee8652653","order_by":0,"name":"Maciej 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